Taalas – an innovator in AI and silicon – announced that it had exited stealth mode and raised $50 million over two rounds of funding led by Pierre Lamond and Quiet Capital.
Over the last year, AI has undergone a large-scale productization and has already begun reshaping the world. Concurrently, deep learning models have become the world’s most demanding computational workload, unsustainably capital-intensive, and GPU-constrained.
Taalas is developing an automated flow for implementing all types of deep learning models (Transformers, SSMs, Diffusers, MoEs, etc.) in silicon. And proprietary innovations enable one of its chips to hold an entire large AI model without requiring external memory. The efficiency of hard-wired computation enables a single chip to outperform a small GPU data center, opening the way to a 1000x improvement in the cost of AI. The company is also taping out its first large language model chip in the third quarter of 2024 and planning to make it available to early customers in the first quarter of 2025.
Ljubisa Bajic, Drago Ignjatovic, and Lejla Bajic founded Taalas. Before co-founding Taalas, Ljubisa founded Tenstorrent in 2016. Drago and Lejla joined Tenstorrent soon after as early engineering leaders. The team has spent decades working together on a long list of AI processors, GPUs, and CPUs across Tenstorrent, AMD, and NVIDIA.
KEY QUOTES:
“Artificial intelligence is like electrical power – an essential good that will need to be made available to all. Commoditizing AI requires a 1000x improvement in computational power and efficiency, a goal that is unattainable via the current incremental approaches. The path forward is to realize that we should not be simulating intelligence on general purpose computers, but casting intelligence directly into silicon. Implementing deep learning models in silicon is the straightest path to sustainable AI.”
- Ljubisa Bajic, Taalas’ CEO
“We believe the Taalas ‘direct-to-silicon’ foundry unlocks three fundamental breakthroughs: dramatically resetting the cost structure of AI today, viably enabling the next 10-100x growth in model size, and efficiently running powerful models locally on any consumer device. This is perhaps the most important mission in computing today for the future scalability of AI. And we are proud to support this remarkable n-of-1 team as they do it.”
- Matt Humphrey, Partner at Quiet Capital
“Making chips is a difficult and risky endeavour in which success requires experience, ingenuity, and persistence. Taalas’ founders have produced numerous cutting-edge chips and systems. Their track record in the industry is second to none.”
- Pierre Lamond, whose work across Fairchild, National Semiconductor, Sequoia, and many other organizations, helped lay the foundation of the semiconductor industry.
